Multiple motor wheel edge separated driving electric vehicle propulsion control system and method

Abstract

The invention discloses an electric vehicle power control system with multiple-motor wheel independent driving, and a relative method. The invention comprises an electric accelerator, a motor and a relative driver, a photoelectric coder, a torque sensor, a fuzzy controller, and a fuzzy calculator. The torque command of the electric accelerator is sent to the hub motor and relative driver of vehicle, the torque sensor via the current signal of the driver obtains the torque value of the motor, to be sent to the photoelectric coder along with the rotation speed signal of the hub motor, via calculating the pulse frequency of the photoelectric coder to respectively obtain the derivative signal of road driving force on the motor torque and the first-order differential signal of the derivative value on time, to be input into the fuzzy controller via the fuzzy calculator, the fuzzy controller generates a control output signal to be input into the fuzzy controller, and the fuzzy calculator sets needed value, sends a control signal to be the electric accelerator, and outputs a signal as one input of the fuzzy controller at next sampling time, to set the control output at the time.

Description

technical field [0001] The invention relates to a power control system and method for an electric vehicle, in particular to a power control system and method for an electric vehicle driven by multiple motors. Background technique [0002] The modern automobile power system mainly includes the driving system and the braking system. For the mature internal combustion engine vehicle, the control of the power system is mainly the traction control system (TCS) and the anti-lock braking system (ABS). It is an ideal point suitable for driving requirements in a certain state of contact between the tire and the road surface (slip (transfer) rate and adhesion rate positive change interval, such as figure 1 ), so that the vehicle can make full use of the road adhesion conditions and maintain stability. [0003] The traction control system is generally composed of a wheel speed sensor, an electronic control unit (ECU), and an actuator (driving force transmission system). A good slip r...

AI Technical Summary

Problems solved by technology

However, none of the existing technologies can achieve precise control, that is, it is impossible to make the vehicle run at figure 1 The ideal point in the curve, because the road surface adhesion conditions are not obtained in real time, and the slip (shift) rate is not obtained in real time in the case of four-wheel action (braking or four-wheel drive)

The existing power control technology only determines the control parameters and their thresholds based on experience, and cannot adapt to the various road surfaces and real-time changes of the road surface on which the vehicle operates. Therefore, in some special cases, the traction control system and the anti-lock brake system will fail

Although the model following control applied to the electric vehicle power system can adapt to different road surfaces, its goal is not the optimal slip (shift) rate, but the slip (shift) rate is zero. figure 1 It can be seen that the target adhesion rate is also zero, so the driving (braking) performance of the car is seriously weakened in actual use.

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